scholarly journals The demographic history of African Drosophila melanogaster

2018 ◽  
Author(s):  
Adamandia Kapopoulou ◽  
Susanne P. Pfeifer ◽  
Jeffrey D. Jensen ◽  
Stefan Laurent
Keyword(s):  
Drosophila Melanogaster ◽  
Demographic History ◽  
Research Question ◽  
Model Organism ◽  
Quantitative Model ◽  
Population History ◽  
Parameter Estimates ◽  
Demographic Model ◽  
African Populations ◽  
History Of

ABSTRACTAs one of the most commonly utilized organisms in the study of local adaptation, an accurate characterization of the demographic history of Drosophila melanogaster remains as an important research question. This owes both to the inherent interest in characterizing the population history of this model organism, as well as to the well-established importance of an accurate null demographic model for increasing power and decreasing false positive rates in genomic scans for positive selection. While considerable attention has been afforded to this issue in non-African populations, less is known about the demographic history of African populations, including from the ancestral range of the species. While qualitative predictions and hypotheses have previously been forwarded, we here present a quantitative model fitting of the population history characterizing both the ancestral Zambian population range as well as the subsequently colonized west African populations, which themselves served as the source of multiple non-African colonization events. These parameter estimates thus represent an important null model for future investigations in to African and non-African D. melanogaster populations alike.

scholarly journals Recurrent Collection of Drosophila melanogaster from Wild African Environments and Genomic Insights into Species History

2019 ◽  
Vol 37 (3) ◽  
pp. 627-638 ◽  
Author(s):  
Quentin D Sprengelmeyer ◽  
Suzan Mansourian ◽  
Jeremy D Lange ◽  
Daniel R Matute ◽  
Brandon S Cooper ◽  
...  
Keyword(s):  
Drosophila Melanogaster ◽  
Demographic History ◽  
Central Africa ◽  
Model Organism ◽  
Sub Saharan Africa ◽  
Wilderness Areas ◽  
Southern Central ◽  
History Of ◽  
Sub Saharan ◽  
Improved Model

Abstract A long-standing enigma concerns the geographic and ecological origins of the intensively studied vinegar fly, Drosophila melanogaster. This globally distributed human commensal is thought to originate from sub-Saharan Africa, yet until recently, it had never been reported from undisturbed wilderness environments that could reflect its precommensal niche. Here, we document the collection of 288 D. melanogaster individuals from multiple African wilderness areas in Zambia, Zimbabwe, and Namibia. The presence of D. melanogaster in these remote woodland environments is consistent with an ancestral range in southern-central Africa, as opposed to equatorial regions. After sequencing the genomes of 17 wilderness-collected flies collected from Kafue National Park in Zambia, we found reduced genetic diversity relative to town populations, elevated chromosomal inversion frequencies, and strong differences at specific genes including known insecticide targets. Combining these genomes with existing data, we probed the history of this species’ geographic expansion. Demographic estimates indicated that expansion from southern-central Africa began ∼13,000 years ago, with a Saharan crossing soon after, but expansion from the Middle East into Europe did not begin until roughly 1,800 years ago. This improved model of demographic history will provide an important resource for future evolutionary and genomic studies of this key model organism. Our findings add context to the history of D. melanogaster, while opening the door for future studies on the biological basis of adaptation to human environments.

scholarly journals Efficiently inferring the demographic history of many populations with allele count data

2018 ◽  
Author(s):  
John A. Kamm ◽  
Jonathan Terhorst ◽  
Richard Durbin ◽  
Yun S. Song
Keyword(s):  
Evolutionary Biology ◽  
Demographic History ◽  
Directed Acyclic Graphs ◽  
Population History ◽  
Demographic Model ◽  
Natural Processes ◽  
Acyclic Graphs ◽  
Open Source Software Package ◽  
History Of ◽  
Allele Count

AbstractThe sample frequency spectrum (SFS), or histogram of allele counts, is an important summary statistic in evolutionary biology, and is often used to infer the history of population size changes, migrations, and other demographic events affecting a set of populations. The expected multipopulation SFS under a given demographic model can be efficiently computed when the populations in the model are related by a tree, scaling to hundreds of populations. Admixture, back-migration, and introgression are common natural processes that violate the assumption of a tree-like population history, however, and until now the expected SFS could be computed for only a handful of populations when the demographic history is not a tree. In this article, we present a new method for efficiently computing the expected SFS and linear functionals of it, for demographies described by general directed acyclic graphs. This method can scale to more populations than previously possible for complex demographic histories including admixture. We apply our method to an 8-population SFS to estimate the timing and strength of a proposed “basal Eurasian” admixture event in human history. We implement and release our method in a new open-source software package momi2.

scholarly journals Discovery of Drosophila melanogaster from Wild African Environments and Genomic Insights into Species History

2018 ◽  
Author(s):  
Quentin D. Sprengelmeyer ◽  
Suzan Mansourian ◽  
Jeremy D. Lange ◽  
Daniel R. Matute ◽  
Brandon S. Cooper ◽  
...  
Keyword(s):  
Drosophila Melanogaster ◽  
Demographic History ◽  
Historical Context ◽  
Model Organism ◽  
Widespread Species ◽  
Wilderness Areas ◽  
Genomic Studies ◽  
History Of ◽  
Sub Saharan ◽  
Improved Model

A long-standing enigma concerns the geographic and ecological origins of the intensively studied vinegar fly, Drosophila melanogaster, a globally widespread species [1] which “has invariably appeared to be a strict human commensal” [2]. In spite of its sub-Saharan origins, this species has never been reported from undisturbed wilderness environments that might reflect its pre-commensal niche [3]. Here, we document the collection of 288 D. melanogaster individuals from African wilderness areas in Zambia, Zimbabwe, and Namibia. After sequencing the genomes of 17 flies collected from Kafue National Park, Zambia, we found reduced genetic diversity relative to town populations, elevated chromosomal inversion frequencies, and strong differences at specific genes including known insecticide targets. Combining these new genomes with prior data enabled us to gain novel insights into the history of this species’ geographic expansion. Our demographic estimates indicated that an expansion from southern Africa began approximately 10,000 years ago, with a Saharan crossing soon after, but expansion from the Middle East into Europe did not begin until roughly 1,400 years ago. This improved model of demographic history will provide a critical resource for future evolutionary and genomic studies of this key model organism. Our results add historical context to the species’ human association, and the opportunity to study wilderness populations opens the door for future studies on the biological basis of its adaptation to human environments.

scholarly journals Corrigendum to: Demographic history of the human commensal Drosophila melanogaster

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
J Roman Arguello ◽  
Stefan Laurent ◽  
Andrew G Clark
Keyword(s):  
Drosophila Melanogaster ◽  
Demographic History ◽  
History Of

Phylogeographic structure and gene flow of Himalayan snowcock (Tetraogallus himalayensis)

2010 ◽  
Vol 60 (4) ◽  
pp. 449-465
Author(s):  
Wen Longying ◽  
Zhang Lixun ◽  
An Bei ◽  
Luo Huaxing ◽  
Liu Naifa ◽  
...  
Keyword(s):  
Demographic History ◽  
Phylogenetic Analyses ◽  
Divergence Time ◽  
Population Expansion ◽  
Population History ◽  
Tibet Plateau ◽  
Phylogeographic Structure ◽  
Mitochondrial Cytochrome B ◽  
History Of ◽  
Qinghai Tibet Plateau

AbstractWe have used phylogeographic methods to investigate the genetic structure and population history of the endangered Himalayan snowcock (Tetraogallus himalayensis) in northwestern China. The mitochondrial cytochrome b gene was sequenced of 102 individuals sampled throughout the distribution range. In total, we found 26 different haplotypes defined by 28 polymorphic sites. Phylogenetic analyses indicated that the samples were divided into two major haplogroups corresponding to one western and one eastern clade. The divergence time between these major clades was estimated to be approximately one million years. An analysis of molecular variance showed that 40% of the total genetic variability was found within local populations, 12% among populations within regional groups and 48% among groups. An analysis of the demographic history of the populations suggested that major expansions have occurred in the Himalayan snowcock populations and these correlate mainly with the first and the second largest glaciations during the Pleistocene. In addition, the data indicate that there was a population expansion of the Tianshan population during the uplift of the Qinghai-Tibet Plateau, approximately 2 million years ago.

scholarly journals Population structure and demographic history of the chukar partridge Alectoris chukar in China

2013 ◽  
Vol 59 (4) ◽  
pp. 458-474 ◽  
Author(s):  
Sen Song ◽  
Shijie Bao ◽  
Ying Wang ◽  
Xinkang Bao ◽  
Bei An ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Gene Flow ◽  
North America ◽  
Demographic History ◽  
Population Expansion ◽  
Northwest China ◽  
Population History ◽  
Extant Species ◽  
History Of ◽  
Chukar Partridge

Abstract Pleistocene climate fluctuations have shaped the patterns of genetic diversity observed in extant species. Although the effects of recent glacial cycles on genetic diversity have been well studied on species in Europe and North America, genetic legacy of species in the Pleistocene in north and northwest of China where glaciations was not synchronous with the ice sheet development in the Northern Hemisphere or or had little or no ice cover during the glaciations’ period, remains poorly understood. Here we used phylogeographic methods to investigate the genetic structure and population history of the chukar partridge Alec-toris chukar in north and northwest China. A 1,152 – 1,154 bp portion of the mtDNA CR were sequenced for all 279 specimens and a total number of 91 haplotypes were defined by 113 variable sites. High levels of gene flow were found and gene flow estimates were greater than 1 for most population pairs in our study. The AMOVA analysis showed that 81% and 16% of the total genetic variability was found within populations and among populations within groups, respectively. The demographic history of chukar was examined using neutrality tests and mismatch distribution analyses and results indicated Late Pleistocene population expansion. Results revealed that most populations of chukar experienced population expansion during 0.027 ? 0.06 Ma. These results are at odds with the results found in Europe and North America, where population expansions occurred after Last Glacial Maximum (LGM, 0.023 to 0.018 Ma). Our results are not consistent with the results from avian species of Tibetan Plateau, either, where species experienced population expansion following the retreat of the extensive glaciation period (0.5 to 0.175 Ma).

scholarly journals Inferring the Demographic History of Inbred Species from Genome-Wide SNP Frequency Data

2020 ◽  
Vol 37 (7) ◽  
pp. 2124-2136
Author(s):  
Paul D Blischak ◽  
Michael S Barker ◽  
Ryan N Gutenkunst
Keyword(s):  
Puma Concolor ◽  
Demographic History ◽  
Random Mating ◽  
Simulated Data ◽  
Conservation Agriculture ◽  
Model Fit ◽  
Parameter Estimates ◽  
History Of ◽  
Demographic Inference ◽  
Inbred Populations

Abstract Demographic inference using the site frequency spectrum (SFS) is a common way to understand historical events affecting genetic variation. However, most methods for estimating demography from the SFS assume random mating within populations, precluding these types of analyses in inbred populations. To address this issue, we developed a model for the expected SFS that includes inbreeding by parameterizing individual genotypes using beta-binomial distributions. We then take the convolution of these genotype probabilities to calculate the expected frequency of biallelic variants in the population. Using simulations, we evaluated the model’s ability to coestimate demography and inbreeding using one- and two-population models across a range of inbreeding levels. We also applied our method to two empirical examples, American pumas (Puma concolor) and domesticated cabbage (Brassica oleracea var. capitata), inferring models both with and without inbreeding to compare parameter estimates and model fit. Our simulations showed that we are able to accurately coestimate demographic parameters and inbreeding even for highly inbred populations (F = 0.9). In contrast, failing to include inbreeding generally resulted in inaccurate parameter estimates in simulated data and led to poor model fit in our empirical analyses. These results show that inbreeding can have a strong effect on demographic inference, a pattern that was especially noticeable for parameters involving changes in population size. Given the importance of these estimates for informing practices in conservation, agriculture, and elsewhere, our method provides an important advancement for accurately estimating the demographic histories of these species.

scholarly journals Blockwise Site Frequency Spectra for Inferring Complex Population Histories and Recombination

2016 ◽  
Author(s):  
Champak R. Beeravolu ◽  
Michael J. Hickerson ◽  
Laurent A.F. Frantz ◽  
Konrad Lohse
Keyword(s):  
Demographic History ◽  
Composite Likelihood ◽  
Model Organisms ◽  
Secondary Contact ◽  
Parameter Estimates ◽  
Genome Sequences ◽  
Frequency Spectra ◽  
Genome Wide ◽  
Complex Population ◽  
History Of

AbstractWe introduce ABLE (Approximate Blockwise Likelihood Estimation), a novel composite likelihood framework based on a recently introduced summary of sequence variation: the blockwise site frequency spectrum (bSFS). This simulation-based framework uses the the frequencies of bSFS configurations to jointly model demographic history and recombination and is explicitly designed to make inference using multiple whole genomes or genome-wide multi-locus data (e.g. RADSeq) catering to the needs of researchers studying model or non-model organisms respectively. The flexible nature of our method further allows for arbitrarily complex population histories using unphased and unpolarized whole genome sequences. In silico experiments demonstrate accurate parameter estimates across a range of divergence models with increasing complexity, and as a proof of principle, we infer the demographic history of the two species of orangutan from multiple genome sequences (over 160 Mbp in length) from each species. Our results indicate that the two orangutan species split approximately 650-950 thousand years ago but experienced a pulse of secondary contact much more recently, most likely during a period of low sea-level South East Asia (∼300,000 years ago). Unlike previous analyses we can reject a history of continuous gene flow and co-estimate genome-wide recombination. ABLE is available for download at https://github.com/champost/ABLE.

scholarly journals Genetic structure and sex-biased gene flow in the history of southern African populations

2017 ◽  
Author(s):  
Vladimir Bajić ◽  
Chiara Barbieri ◽  
Alexander Hübner ◽  
Tom Güldemann ◽  
Christfried Naumann ◽  
...  
Keyword(s):  
Gene Flow ◽  
Y Chromosome ◽  
Southern Africa ◽  
Social Dynamics ◽  
Population History ◽  
Eastern Africa ◽  
The Social ◽  
African Populations ◽  
History Of ◽  
Over Time

ABSTRACTObjectivesWe investigated the genetic history of southern African populations with a special focus on their paternal history. We reexamined previous claims that the Y-chromosome haplogroup E1b1b was brought to southern Africa by pastoralists from eastern Africa, and investigated patterns of sex-biased gene flow in southern Africa.Material and MethodsWe analyzed previously published complete mtDNA genome sequences and ~900 kb of NRY sequences from 23 populations from Namibia, Botswana and Zambia, as well as haplogroup frequencies from a large sample of southern African populations and 23 newly genotyped Y-linked STR loci for samples assigned to haplogroup E1b1b.ResultsOur results support an eastern African origin for Y-chromosome haplogroup E1b1b; however, its current distribution in southern Africa is not strongly associated with pastoralism, suggesting a more complex origin for pastoralism in this region. We confirm that the Bantu expansion had a notable genetic impact in southern Africa, and that in this region it was probably a rapid, male-dominated expansion. Furthermore, we find a significant increase in the intensity of sex-biased gene flow from north to south, which may reflect changes in the social dynamics between Khoisan and Bantu groups over time.ConclusionsOur study shows that the population history of southern Africa has been very complex, with different immigrating groups mixing to different degrees with the autochthonous populations. The Bantu expansion led to heavily sex-biased admixture as a result of interactions between Khoisan females and Bantu males, with a geographic gradient which may reflect changes in the social dynamics between Khoisan and Bantu groups over time.

scholarly journals GADMA: Genetic algorithm for inferring demographic history of multiple populations from allele frequency spectrum data

GigaScience ◽  
2020 ◽  
Vol 9 (3) ◽  
Author(s):  
Ekaterina Noskova ◽  
Vladimir Ulyantsev ◽  
Klaus-Peter Koepfli ◽  
Stephen J O’Brien ◽  
Pavel Dobrynin
Keyword(s):  
Genetic Algorithm ◽  
Allele Frequency ◽  
Frequency Spectrum ◽  
Demographic History ◽  
Model Organisms ◽  
Demographic Model ◽  
Multiple Populations ◽  
Demographic Models ◽  
Allele Frequency Spectrum ◽  
History Of

Abstract Background The demographic history of any population is imprinted in the genomes of the individuals that make up the population. One of the most popular and convenient representations of genetic information is the allele frequency spectrum (AFS), the distribution of allele frequencies in populations. The joint AFS is commonly used to reconstruct the demographic history of multiple populations, and several methods based on diffusion approximation (e.g., ∂a∂i) and ordinary differential equations (e.g., moments) have been developed and applied for demographic inference. These methods provide an opportunity to simulate AFS under a variety of researcher-specified demographic models and to estimate the best model and associated parameters using likelihood-based local optimizations. However, there are no known algorithms to perform global searches of demographic models with a given AFS. Results Here, we introduce a new method that implements a global search using a genetic algorithm for the automatic and unsupervised inference of demographic history from joint AFS data. Our method is implemented in the software GADMA (Genetic Algorithm for Demographic Model Analysis, https://github.com/ctlab/GADMA). Conclusions We demonstrate the performance of GADMA by applying it to sequence data from humans and non-model organisms and show that it is able to automatically infer a demographic model close to or even better than the one that was previously obtained manually. Moreover, GADMA is able to infer multiple demographic models at different local optima close to the global one, providing a larger set of possible scenarios to further explore demographic history.

Sign in / Sign up

Export Citation Format

Share Document